Triple

T8559047
Position Surface form Disambiguated ID Type / Status
Subject Super Deluxe E202644 entity
Predicate starring P1507 FINISHED
Object Ramya Krishnan E637641 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ramya Krishnan | Statement: [Super Deluxe, starring, Ramya Krishnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramya Krishnan
Context triple: [Super Deluxe, starring, Ramya Krishnan]
  • A. Ramya Krishnan chosen
    Ramya Krishnan is an acclaimed Indian actress known for her powerful and versatile performances across Tamil, Telugu, and other South Indian film industries.
  • B. Jyothika
    Jyothika is a prominent Indian film actress best known for her leading roles in Tamil-language movies, where she has earned critical acclaim and several major awards.
  • C. Marianne Mithun
    Marianne Mithun is an American linguist renowned for her extensive work on Native American languages, language typology, and the documentation of endangered languages.
  • D. Nayanthara
    Nayanthara is a leading Indian film actress, often called the "Lady Superstar" of South Indian cinema, known for her versatile performances in Tamil, Telugu, and Malayalam films.
  • E. Samantha Akkineni
    Samantha Akkineni is a prominent Indian actress known for her acclaimed performances in Telugu and Tamil cinema, as well as her work in several successful pan-Indian projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9485dd88190bc2cf2adf39d48ee completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb84a6988190ba6852f72c8918ca completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:20 p.m.